Core Insights - Rekor Systems, Inc. is entering the global deep-fake detection market with a new subsidiary named Rekor Labs, separate from its core roadway-intelligence business [1] - The global deep-fake detection market is estimated to exceed $30 billion over the next decade, with product development initiated in 2023 following government requests for verification of traffic videos [2] - The full product launch is anticipated in the first half of 2026, targeting five key verticals: news media and journalism, social-media platforms, government/security agencies, enterprise safety, and entertainment/film markets [3] Company Overview - Rekor Systems, Inc. is based in Maryland and specializes in AI-enabled computer-vision and machine-learning platforms for roadway intelligence, with flagship solutions like Rekor Discover®, Rekor Command®, and Rekor Scout® [4]

Company Achieves Third Consecutive Quarter of Positive Results Highlights: Record Quarterly Revenue: $14.2 million.Record Gross Margin: Adjusted gross margin expanded to 63% for the quarter and 55% for the nine-month period, reflecting improved mix and operational leverage.Reduced Adjusted EBITDA Loss: Adjusted EBITDA loss narrowed sharply to $1.5 million, the best in the Company’s history.Disciplined Cost Management: Operating expenses fell 26% sequentially and 20% year over year, driving sustained financi ...

Core Insights - Rekor Systems, Inc. has announced that the California Department of Transportation (CalTrans) and the Texas Department of Transportation (TxDOT) are now using Rekor Discover® technology, indicating a significant step towards broader deployment [1][2] - The company secured its largest state contract with the Georgia Department of Transportation (GDOT), which could generate over $100 million, showcasing the effectiveness of its Data-as-a-Service (DaaS) model [2][3] - The DaaS model provides reliable, scalable, and compliant traffic data, which is essential for modern transportation agencies [2][3] Company Overview - Rekor Systems, Inc. specializes in roadway intelligence systems utilizing AI-enabled computer vision and machine learning [3] - The company aims to collect and organize mobility data to create a digitally-enabled operating system for roadways [3] - Rekor's technology aggregates trillions of data points into actionable insights for governments and businesses, promoting safer and more efficient roadways [3]

Core Insights - Rekor Systems, Inc. has announced a transformative deployment of 150 Rekor Discover® systems under a one-year Data-as-a-Service contract valued at $1.2 million with a Sun Belt state transportation agency, expecting installation within 60 days [1][2] Group 1: Technology and Implementation - The Rekor Discover® platform utilizes AI-enabled roadside sensors to collect detailed per-vehicle data while ensuring compliance with Federal Highway Administration requirements, thus eliminating the need for intrusive in-road sensors [2][5] - The deployment represents a significant advancement in traffic data collection and monitoring, allowing for safer and more efficient operations without disrupting traffic or posing risks to roadway workers [5][6] Group 2: Market Expansion and Adoption - Rekor Discover® is gaining traction across various states in the U.S., including Arizona, Colorado, Georgia, New Mexico, New York, Florida, and South Carolina, indicating strong momentum in the market [3][4] - The company aims to replace outdated single-function roadway devices with a scalable, AI-powered platform, which is increasingly being recognized by international transportation authorities, suggesting potential for global expansion [3][4] Group 3: Vision and Future Potential - The International Road Federation's World Road Statistics indicates that over 60 countries are actively collecting traffic data, positioning Rekor to serve both domestic and international markets seeking modern alternatives to legacy traffic technologies [4] - The company's vision includes creating a digitally-enabled operating system for roadways, leveraging AI and big data analytics to provide actionable insights for safer and more efficient transportation planning [6]